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Awesome GitHub RepositoriesModel Optimization Frameworks
Tools for converting and compressing neural network models to improve inference speed and hardware compatibility.
Distinguishing note: Specifically targets the conversion and optimization of trained models for production, distinct from general model training.
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Awesome Model Optimization Frameworks GitHub Repositories
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- open-mmlab/mmdetection
open-mmlab/mmdetection
32,409View on GitHubThis project is a modular research toolkit designed for developing, training, and evaluating deep learning models for object detection, segmentation, and video instance tracking. It provides a flexible training engine that manages complex neural network execution, including distributed training, custom lifecycle hooks, and weight optimization. The framework is built around a hierarchical configuration system that allows users to define architectures, data pipelines, and training hyperparameters through composable, inheritable files. The project distinguishes itself through its highly modular
Converting trained neural network models into optimized formats for efficient inference and production deployment across various hardware backends.
Pythoncascade-rcnnconvnextdetr
